dmux-workflows

Orchestrate parallel AI agent workflows using tmux panes and git worktrees.

1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/vrcms/everything-qwen-code --skill dmux-workflows-vrcms
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/vrcms/everything-qwen-code/tree/main/.qwen/skills/dmux-workflows
Command: npx skills add https://github.com/vrcms/everything-qwen-code --skill dmux-workflows-vrcms

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the bottleneck of sequential AI task execution by enabling parallel, multi-agent orchestration through tmux-based pane management.

Core Features & Use Cases

  • Parallel Agent Orchestration: Manage multiple independent AI agent sessions simultaneously in a single terminal environment.
  • Workflow Isolation: Use git worktrees to ensure that parallel tasks do not conflict when modifying the same codebase.
  • Use Case: When building a complex feature, use this skill to run a research agent in one pane, a test-writing agent in another, and an implementation agent in a third, merging the results once all tasks are complete.

Quick Start

Activate the dmux-workflows skill to initialize a new multi-pane session for your current project tasks.

Frequently Asked Questions about dmux-workflows

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run parallel AI agent sessions in the same terminal?▼

Tmux pane management enables parallel AI agent orchestration by maintaining isolated session states across multiple agent harnesses within a single terminal, increasing development throughput for complex coding tasks.

What is multi-agent orchestration for coding tasks?▼

Multi-agent orchestration coordinates simultaneous AI sessions to handle different facets of a complex task, allowing you to run research, implementation, and testing agents concurrently and merge their results upon completion.

Do I need git worktrees to isolate parallel AI coding workflows?▼

Git worktrees are required to maintain environment isolation and ensure parallel tasks do not conflict when multiple agents modify the same codebase simultaneously across different tmux panes.

Can I use tmux to manage multiple research and implementation agents?▼

Tmux pane management allows you to assign specific panes to different agents, such as running a research agent in one pane and an implementation agent in another, to execute simultaneous development workflows.

When should I use parallel agent workflows instead of sequential execution?▼

Use parallel agent workflows for complex, multi-faceted coding tasks where sequential execution creates a bottleneck, requiring simultaneous research, implementation, and testing to increase overall development throughput.

What are the limitations of using tmux for multi-agent orchestration?▼

Tmux-based multi-agent orchestration requires both tmux and git worktrees for environment isolation, meaning it is limited to terminal environments supporting these tools and requires proper worktree setup to prevent file conflicts.